diff --git a/AITrain/dual_ai_dialogue_system.py b/AITrain/dual_ai_dialogue_system.py
index 9880112..ab4de91 100644
--- a/AITrain/dual_ai_dialogue_system.py
+++ b/AITrain/dual_ai_dialogue_system.py
@@ -602,7 +602,6 @@ class DualAIDialogueEngine:
                 context=context_str,
                 dialogue_history = dialogue_history,
                 history_context_count = history_context_count,
-                temperature=0.8,
                 max_new_tokens=150
             )
     
diff --git a/AITrain/main_controller.py b/AITrain/main_controller.py
index ad1784f..e6c0f51 100644
--- a/AITrain/main_controller.py
+++ b/AITrain/main_controller.py
@@ -140,7 +140,7 @@ def run_dialogue_system():
         conv_mgr = ConversationManager("./conversation_data/conversations.db")
         
         # 检查模型路径
-        base_model_path = '/mnt/g/Project02/AITrain/Qwen/Qwen3-4B'
+        base_model_path = '/mnt/e/AI/Project02/AITrain/Qwen/Qwen3-4B'
         lora_model_path = './output/NPC_Dialogue_LoRA/final_model'
         
         if not os.path.exists(base_model_path):
@@ -221,11 +221,11 @@ def run_dialogue_system():
                 turns = int(turns_input) if turns_input.isdigit() else 4
                 
                 # 询问历史上下文设置
-                history_input = input("使用历史对话轮数 (默认10): ").strip()
-                history_count = int(history_input) if history_input.isdigit() else 10
+                history_input = input("使用历史对话轮数 (默认2): ").strip()
+                history_count = int(history_input) if history_input.isdigit() else 2
                 
-                context_input = input("使用上下文信息数量 (默认5): ").strip()
-                context_info_count = int(context_input) if context_input.isdigit() else 5
+                context_input = input("使用上下文信息数量 (默认10): ").strip()
+                context_info_count = int(context_input) if context_input.isdigit() else 10
                 
                 print(f"\n开始对话 - 主题: {user_input}")
                 print(f"轮数: {turns}, 历史: {history_count}, 上下文: {context_info_count}")
@@ -267,7 +267,7 @@ def create_demo_scenario():
         conv_mgr = ConversationManager("./conversation_data/demo_conversations.db")
         
         # 检查模型路径
-        base_model_path = '/mnt/g/Project02/AITrain/Qwen/Qwen3-4B'
+        base_model_path = '/mnt/e/AI/Project02/AITrain/Qwen/Qwen3-4B'
         lora_model_path = './output/NPC_Dialogue_LoRA/final_model'
         
         if not os.path.exists(base_model_path):
diff --git a/AITrain/npc_dialogue_generator.py b/AITrain/npc_dialogue_generator.py
index 5ccce21..bac40aa 100644
--- a/AITrain/npc_dialogue_generator.py
+++ b/AITrain/npc_dialogue_generator.py
@@ -133,9 +133,9 @@ class NPCDialogueGenerator:
         )
         
         # 如果有LoRA模型，则加载
-        if self.lora_model_path:
-            print(f"Loading LoRA weights from: {self.lora_model_path}")
-            self.model = PeftModel.from_pretrained(self.model, self.lora_model_path)
+        # if self.lora_model_path:
+        #     print(f"Loading LoRA weights from: {self.lora_model_path}")
+        #     self.model = PeftModel.from_pretrained(self.model, self.lora_model_path)
        
     def generate_character_dialogue(
         self, 
@@ -172,7 +172,7 @@ class NPCDialogueGenerator:
         system_prompt = self._build_system_prompt(profile, context, dialogue_history, history_context_count)
         
         # 构建用户输入
-        user_input = "请说一段符合你角色设定的话。"
+        user_input = "请说一段符合你角色设定的话,保持对话的连贯性。"
             
         
         # 准备消息
@@ -210,10 +210,10 @@ class NPCDialogueGenerator:
                 **inputs,
                 max_new_tokens=max_new_tokens,
                 do_sample=True,
-                temperature=temperature,
-                top_p=top_p,
+                temperature=0.95,
+                top_p=0.92,
                 pad_token_id=self.tokenizer.eos_token_id,
-                repetition_penalty=1.1
+                repetition_penalty=1.15
             )
         
         # 解码输出